Bioconductor version: Release (3.17)
Perform non-parametric analysis of response curves as described by Childs, Bach, Franken et al. (2019): Non-parametric analysis of thermal proteome profiles reveals novel drug-binding proteins.
Author: Dorothee Childs, Nils Kurzawa
Maintainer: Nils Kurzawa <nilskurzawa at gmail.com>
Citation (from within R,
enter citation("NPARC")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("NPARC")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("NPARC")
HTML | R Script | Analysing thermal proteome profiling data with the NPARC package |
Reference Manual | ||
Text | NEWS |
biocViews | Proteomics, Software |
Version | 1.12.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (3.5 years) |
License | GPL-3 |
Depends | R (>= 4.0.0) |
Imports | dplyr, tidyr, BiocParallel, broom, MASS, rlang, magrittr, stats, methods |
LinkingTo | |
Suggests | testthat, devtools, knitr, rprojroot, rmarkdown, ggplot2, BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | NPARC_1.12.0.tar.gz |
Windows Binary | NPARC_1.12.0.zip |
macOS Binary (x86_64) | NPARC_1.12.0.tgz |
macOS Binary (arm64) | NPARC_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/NPARC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/NPARC |
Bioc Package Browser | https://code.bioconductor.org/browse/NPARC/ |
Package Short Url | https://bioconductor.org/packages/NPARC/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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